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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MLEC is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
125.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
521.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
370.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
364.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
316.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
311.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
299.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
279.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
279.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
264.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
247.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
244.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
240.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
231.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
227.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
218.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
212.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
209.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
208.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
208.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
207.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
199.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
199.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
197.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
196.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
195.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
193.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
188.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
186.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
184.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
181.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
180.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
180.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
179.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
179.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
175.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
173.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
172.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
172.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
171.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
171.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
170.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
168.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
167.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
166.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
164.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
163.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
163.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
163.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
162.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
161.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
161.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
158.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
158.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
157.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
156.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
156.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
156.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
156.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
155.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
155.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
155.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
154.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
153.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
152.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
151.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
151.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
149.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
148.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
148.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
147.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
146.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
146.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
146.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
145.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
144.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
144.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
140.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
140.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
140.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
139.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
138.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
137.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
137.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
136.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
133.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
133.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
133.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
132.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
132.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
132.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
131.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
131.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
130.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
129.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
128.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
128.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
126.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
126.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
125.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
125.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
124.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
124.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
123.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
122.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
122.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
121.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
120.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
120.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
119.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
119.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
119.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
119.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
118.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
117.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
117.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
117.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
116.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
116.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
116.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
116.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
115.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
115.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
115.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
114.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
114.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
113.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
113.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
113.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
112.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
112.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
112.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
111.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
110.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
110.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
109.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
108.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
108.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
107.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
106.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
106.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
106.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
105.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
105.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
104.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
104.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
103.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
103.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
103.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
102.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
101.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
101.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
101.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
100.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
99.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
98.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
98.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
97.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
96.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
96.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
96.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
95.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
95.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
94.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
93.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
91.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
91.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
90.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
90.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
90.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
90.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
90.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
89.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
89.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
89.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
88.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
88.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
87.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
86.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
86.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
86.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
85.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
84.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
83.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
83.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
81.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
81.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
79.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
79.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
79.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
79.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
79.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
76.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
75.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
75.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
74.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
74.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
74.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
73.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
72.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
72.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
71.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
71.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
70.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
69.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
67.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
65.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
64.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
61.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
61.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
59.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
57.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
53.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
49.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
47.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
43.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MLEC is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
273.5
Number of samples
486
Samples
Sample
Description
TPM
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
683.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
666.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
603.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
590.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
581.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
578.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
547.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
534.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
525.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
523.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
522.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
512.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
505.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
498.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
494.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
492.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
489.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
487.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
483.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
478.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
476.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
468.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
461.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
461.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
458.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
451.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
443.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
442.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
437.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
436.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
434.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
429.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
428.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
424.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
424.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
423.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
422.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
421.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
418.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
418.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
418.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
417.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
417.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
416.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
412.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
411.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
410.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
409.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
407.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
406.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
403.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
401.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
398.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
397.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
397.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
395.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
395.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
393.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
391.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
390.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
387.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
384.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
384.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
380.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
378.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
377.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
373.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
373.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
372.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
370.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
369.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
369.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
367.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
365.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
365.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
364.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
362.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
362.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
361.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
359.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
359.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
359.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
358.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
357.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
357.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
353.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
352.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
350.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
349.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
347.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
347.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
346.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
346.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
345.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
345.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
345.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
345.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
345.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
344.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
343.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
343.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
343.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
342.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
342.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
341.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
339.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
339.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
338.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
338.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
338.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
337.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
337.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
336.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
335.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
335.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
334.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
333.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
333.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
333.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
332.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
331.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
331.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
330.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
329.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
329.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
329.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
328.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
325.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
323.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
323.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
323.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
321.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
319.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
318.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
318.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
317.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
315.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
314.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
314.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
314.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
313.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
313.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
313.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
313.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
313.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
312.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
312.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
311.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
310.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
309.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
309.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
309.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
309.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
309.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
309.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
307.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
305.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
303.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
303.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
303.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
302.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
301.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
300.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
299.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
299.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
299.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
299.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
298.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
298.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
298.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
297.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
297.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
296.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
296.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
296.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
295.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
292.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
291.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
291.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
291.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
291.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
290.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
290.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
289.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
289.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
289.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
289.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
289.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
288.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
288.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
288.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
287.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
286.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
285.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
285.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
284.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
284.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
284.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
284.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
283.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
282.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
281.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
281.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
281.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
281.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
281.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
281.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
281.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
280.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
279.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
278.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
278.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
278.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
278.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
278.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
278.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
277.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
276.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
275.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
274.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
274.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
274.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
274.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
274.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
273.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
272.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
272.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
271.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
271.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
270.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
270.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
268.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
268.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
268.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
267.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
267.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
267.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
266.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
265.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
264.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
264.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
263.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
263.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
263.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
263.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
262.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
261.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
261.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
261.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
260.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
258.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
258.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
258.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
257.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
257.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
257.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
257.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
257.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
256.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
255.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
255.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
255.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
254.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
254.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
254.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
253.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
252.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
252.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
250.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
250.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
249.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
249.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
248.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
248.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
248.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
248.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
247.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
247.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
246.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
245.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
245.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
244.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
244.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
244.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
243.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
243.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
242.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
242.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
242.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
241.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
241.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
240.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
240.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
240.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
239.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
237.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
237.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
237.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
237.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
236.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
236.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
234.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
234.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
234.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
234.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
233.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
232.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
232.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
231.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
231.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
230.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
230.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
229.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
229.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
228.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
227.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
227.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
226.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
225.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
225.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
225.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
223.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
222.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
222.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
221.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
221.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
220.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
220.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
219.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
219.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
218.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
217.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
216.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
215.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
215.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
214.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
214.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
213.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
213.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
212.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
211.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
211.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
211.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
210.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
210.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
210.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
210.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
209.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
209.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
209.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
208.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
208.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
208.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
207.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
207.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
207.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
206.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
206.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
206.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
205.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
205.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
204.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
204.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
203.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
203.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
203.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
201.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
200.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
199.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
199.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
199.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
199.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
197.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
197.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
196.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
196.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
196.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
195.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
194.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
194.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
193.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
193.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
192.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
192.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
191.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
189.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
188.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
188.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
187.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
187.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
187.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
186.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
186.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
186.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
185.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
185.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
184.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
184.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
184.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
183.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
183.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
183.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
183.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
182.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
181.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
180.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
180.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
180.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
179.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
179.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
179.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
179.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
177.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
176.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
176.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
175.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
175.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
174.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
174.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
174.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
173.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
172.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
171.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
169.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
169.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
168.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
168.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
168.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
167.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
167.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
167.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
164.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
162.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
162.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
162.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
161.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
160.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
159.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
159.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
158.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
157.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
156.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
155.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
154.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
153.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
152.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
151.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
147.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
147.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
146.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
144.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
143.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
142.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
141.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
141.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
141.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
140.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
140.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
140.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
139.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
138.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
138.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
137.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
136.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
135.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
134.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
133.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
132.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
131.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
130.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
129.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
129.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
127.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
126.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
125.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
123.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
115.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
111.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
106.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
106.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
85.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
19.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MLEC is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
112.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
255.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
249.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
247.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
213.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
197.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
196.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
192.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
185.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
181.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
178.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
178.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
175.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
159.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
157.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
155.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
152.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
149.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
143.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
142.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
141.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
140.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
139.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
134.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
132.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
131.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
130.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
128.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
125.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
125.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
124.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
121.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
119.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
117.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
117.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
116.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
113.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
112.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
112.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
111.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
108.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
108.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
107.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
107.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
106.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
105.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
105.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
104.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
104.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
103.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
102.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
100.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
99.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
98.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
98.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
98.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
95.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
95.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
85.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
85.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
81.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
77.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
76.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
75.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
72.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
72.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
70.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
68.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
65.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
65.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
61.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
60.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
57.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
55.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
50.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MLEC is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
241.2
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
678.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
537.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
508.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
469.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
468.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
423.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
385.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
383.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
373.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
370.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
368.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
365.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
365.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
361.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
358.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
352.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
351.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
349.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
346.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
342.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
338.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
336.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
336.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
333.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
333.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
331.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
330.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
327.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
327.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
324.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
324.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
323.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
323.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
322.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
319.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
318.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
318.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
315.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
312.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
302.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
302.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
301.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
300.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
299.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
299.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
298.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
296.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
295.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
295.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
294.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
294.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
293.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
293.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
290.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
288.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
287.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
285.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
283.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
283.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
282.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
281.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
281.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
280.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
279.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
278.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
278.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
277.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
277.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
276.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
273.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
272.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
272.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
268.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
266.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
266.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
266.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
265.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
265.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
264.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
264.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
262.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
261.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
259.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
258.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
255.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
254.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
254.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
253.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
252.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
251.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
251.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
249.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
248.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
247.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
246.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
245.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
245.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
244.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
242.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
242.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
242.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
241.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
241.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
238.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
237.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
234.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
233.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
232.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
231.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
230.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
229.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
228.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
226.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
225.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
224.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
220.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
219.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
216.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
214.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
214.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
213.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
213.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
213.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
212.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
211.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
208.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
205.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
205.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
204.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
204.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
202.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
201.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
201.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
201.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
201.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
200.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
200.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
198.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
197.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
196.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
195.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
195.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
193.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
193.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
193.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
193.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
193.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
192.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
191.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
190.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
188.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
185.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
184.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
184.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
181.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
181.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
179.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
178.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
176.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
175.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
175.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
175.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
174.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
174.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
172.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
168.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
166.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
166.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
164.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
161.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
158.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
157.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
155.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
154.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
154.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
154.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
153.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
153.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
151.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
151.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
151.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
148.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
147.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
146.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
143.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
143.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
142.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
131.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
130.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
130.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
126.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
125.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
122.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
120.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
116.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
116.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
112.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
111.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
110.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
109.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
106.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
106.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
103.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
100.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
95.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
61.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
